Best of Life health insurance
The 16 Best Life & Health Insurance Datasets in 2026
16 Life health insurance picks, ranked on what's inside: field richness, coverage depth, fit for the job. Human Mortality Database leads.
- 16ranked picks
- 9documented fields on stage
- 0/13with mapped coverage
API, files, or your warehouse. Daily, weekly, or hourly.
Every dataset here carries a 0–10 score built on documented fields, and the ranking follows those scores. When records tie, coverage breaks it: more geography, deeper history, finer granularity. Cadence isn't a scoring axis — it's a delivery setting. Delivered daily, weekly, or hourly, your call.
- 1 10/10Life health insurance
Human Mortality Database
- 2 10/10Life health insurance
Medical Expenditure Panel Survey
- 3 9/10Life health insurance
U.S. Census Bureau Health Insurance Coverage Program
Third because it is the only single-year county-level coverage estimate produced anywhere in the US system.
- 4 9/10Life health insurance
Society of Actuaries Research Institute and Mortality Tables
Per-age rates within each table's min/max range. select & ultimate layouts add duration dimensions.
- 5 9/10Life health insurance
World Bank Life Expectancy and Mortality Indicators
- 6 9/10Life health insurance
NAIC Insurance Data and Regulatory Tools
- 7 8/10Life health insurance
KFF State Health Facts and Health Policy Data
State level.
- 8 8/10Life health insurance
UK ONS Health and Social Care Statistics
By age band or single year, sex, cause and geography.
- 9 Kaggle Medical Cost Personal Dataset
- 10 9/10Life health insurance
PRIDE Archive — Proteomics Identifications Database
- 11 BacDive — Bacterial Diversity Metadatabase
- 12 9/10Life health insurance
BRENDA Enzyme Database
- 13 8/10Life health insurance
EBI BioSamples — Biological Sample Metadata Database
name · taxId · status …+6 more - 14 8/10Life health insurance
Addgene Plasmid Repository Catalog
- 15 7/10Life health insurance
ATCC — Biological Materials Catalog
- 16 CiteAb — Reagent Citation Supplier Database
Frequently asked questions
What is the single best life & health insurance dataset?
The Human Mortality Database, on our scoring - quality 10/10 and the reference input for actuarial mortality work. Harmonized births, deaths, exposures and life tables for 41 countries and sub-populations at single-year ages to 109 plus an open 110+ interval, deaths cut into Lexis triangles by age, birth cohort and calendar year, and a weekly fluctuation series covering 38 countries into 2026.
Which dataset has the longest continuous history?
The Human Mortality Database again - several national series are recomputed back into the 1700s and 1800s under one Methods Protocol. The Society of Actuaries' valuation bases open at the 1941 CSO, the Census coverage series has run annually since 1959, and World Bank life-expectancy indicators span 1960 through 2024 across 200-plus economies.
How do I get uninsured rates by county?
The U.S. Census Bureau's Small Area Health Insurance Estimates resolve single-year uninsured rates for roughly 3,140 counties each year from 2008 through 2024, sliced by age band, sex, race and Hispanic origin and income-to-poverty ratio - with margins of error and ninety-percent bounds attached to every figure. ACS state blocks and the national household series sit above them in the same program.
Is there weekly mortality data for excess-death tracking?
Yes, two ways. The Human Mortality Database's Short-Term Mortality Fluctuations series publishes weekly death counts by age and sex for 38 countries, running from as early as 1990 into 2026, and UK ONS issues provisional weekly death registrations for England and Wales by age and sex. Both move far faster than the annual vital-statistics cycle.
How is life & health insurance data delivered?
Daily, weekly, or hourly - your call. Life tables arrive as typed frames keyed on population, sex, age and year; survey microdata as person- and event-level files carrying their weights; carrier data as group-by-state-by-line cells. Tell Datadory the geographies, entities and cadence you need and a scoped sample arrives first, so fields and coverage prove themselves on your own pipeline.